Kaltura AI Cloud TV features debut with avatars and sports assistants

The introduction of specialized AI agents marks a shift from general recommendation engines to functional automation across the streaming stack. By integrating customer support avatars and automated sports highlights directly into the Kaltura Cloud TV Platform, the company is addressing the high costs of subscriber churn and manual content operations. This move signals a broader industry trend where B2B vendors must provide more than just delivery, focusing instead on tools that drive measurable monetization and operational efficiency. Watch for how telecom operators in the EMEA and APAC regions adopt these automated support tools to reduce overhead in their customer service departments.

Kaltura's push into AI-powered customer care and content automation arrives as major network equipment vendors race to embed agentic AI across telecom operations. In June 2026, Ericsson launched its AI in RAN commercial software subscription, claiming up to 20% higher downlink throughput across more than 15 live deployments, while Nokia announced a GPU-accelerated AI-RAN partnership with Indosat Ooredoo Hutchison in Indonesia, expanding an architecture already adopted by T-Mobile US, SoftBank, and Vodafone. Verizon disclosed that its 60,000-site vRAN is now applying agentic AI to planned configuration changes and service assurance, publicly calling for industry-wide interoperability standards for agentic systems. These moves establish the competitive backdrop against which Kaltura must differentiate its Cloud TV Platform as an AI automation layer for media and telecom operators.

On the business and platform side, Nokia has been assembling what it calls its Autonomous Network Fabric, a unified control layer for radio, core, transport, and service domains. Nokia combined with AWS and Databricks to build a telco AI control layer that integrates orchestration, assurance, and inventory management, with the company reporting automation rates higher than 90 percent and service delivery times of four hours or less among operators using the portfolio. Separately, Nokia teamed up with Google Cloud to build six specialized Gemini-powered agents for network troubleshooting, planning a September 2026 launch on Google Cloud Marketplace with claims of 50% to 80% reductions in problem-solving times. Ericsson, meanwhile, has positioned its Telco Agentic AI Studio and Gen-AI Lab on Amazon Bedrock, with more than 20 cloud-native AI applications across OSS/BSS functions, according to a detailed analysis of Ericsson's cloud-first agentic blueprint. For Kaltura, the implication is clear: telecom buyers evaluating AI agents for customer-facing and operational workflows now have multiple vendor frameworks competing for the same budget lines.

The technical differentiation challenge is sharpened by the divergence between Ericsson and Nokia on AI-RAN architecture. following the chipmaker's $1 billion investment in the Finnish company. That hardware-level split means operators choosing between AI automation stacks must also weigh underlying compute dependencies. Kaltura's Cloud TV Platform, which sits at the application and experience layer rather than the radio access layer, benefits from this fragmentation by remaining infrastructure-agnostic, but it must demonstrate measurable subscriber retention and operational savings to justify adoption alongside these heavier network-side investments.